1 10 45 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Supriyadi, Supriyadi Fatah, Gatot Suharto Abdul Putri, Rumanintya Lisaria Yogi, Yoga Angangga Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-01 Description An account of the resource The districts of Jember, Bojonegoro, and Lamongan are home to Virginia tobacco shops. In Bojonegoro Regency, there are 11,522 ha and 11,517 ha of tobacco land, while there are 6697 ha and 6683 ha in Lamongan Regency. The quality of tobacco is lowered by excessive fertilization, the use of impure varieties, interplanting with chilies, and the neglectful pruning of shoots (Tirtosastro S and Taufik I, 2022). Inorganic fertilizers used in excess will deteriorate unhealthful soil (Arifin Z and Lolita ES, 2020). The issue of excessive chlorine fertilizer use results in a decrease in tobacco quality (low burning power, dull color). The Bojonegoro and Lamongan regions have lost many tobacco product industries as a result of excessive chlorine fertilizer restrictions on tobacco plants. Based on the aforementioned issues, a survey study on fertilization methods for Virginia farmers in the Bojonegoro and Lamongan Regencies is required. The goal of this study was to ascertain how fertilizers were applied by farmers and to measure the soil's and tobacco leaves' chlorine contents. The fertilization process is carried out with an approach to the Internet of Things which is necessary for fertilization automation and more optimal results. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/582 10.31763/iota.v3i1.582 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/582/178 Rights Information about rights held in and over the resource Copyright (c) 2023 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]; 65-75 2774-4353 Subject The topic of the resource Virginia tobacco fertilization farmers IoT Automatic fertilization Title A name given to the resource Fertilization Technology of Virginia Tobacco Farmers in Bojonegoro and Lamongan Districts and approach to IoT Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Titirloloby, Piter Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-01 Description An account of the resource The purpose of this study was to describe how WhatApps media in teaching grammar to students and describe the issue, and action research was conducted on thirty-two second-grade students. The data were collected from a questionnaire and observation checklist to assess students' engagement and how they used WhatsApp in learning. The results indicated that in cycle one, only 22, or 66%, of the students had achieved the passing grade, while in cycle 2, 32 students, or 100%, achieved the passing grade. There was an increase of 34% in students in the second cycle. The researcher finished cycle two because the total number of the student's results was standard score minimum achievement criterion 75. The students learned better in cycle 2. The students were active and participated in learning grammar using WhatsApp as media. The WhatsApp platform had the power to increase students' instructional interaction, mainly student-student interaction, followed by student-content interaction and student-teacher interaction in the teaching and learning process directly or online using WhatsApp as media. The WhatsApp platform provides participants with an open and flexible space for communicating, expressing ideas, and exchanging information, and the critical issue is WhatsApp can help students in learning grammar. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/578 10.31763/iota.v3i1.578 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/578/173 Rights Information about rights held in and over the resource Copyright (c) 2023 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]; 43-67 2774-4353 Subject The topic of the resource WhatsApps Media Grammar in context English Learning student-teacher interaction Title A name given to the resource Development of WhatsApp for English Learning at Saumlaki State High School Tanimbar Islands Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Tarigan, Muhammad Iqbal Sitepu, Noviyanti Wulandari Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-01 Description An account of the resource Technological developments are increasingly developing in all fields, unstoppable in the area of law and the role of this IoT technology in solving legal problems, considering Society 5.0, which focuses on building a humane and prosperous society, especially people in Indonesia. And the role of IoT on the legal side is expected to be the answer for an appropriate and fair law enforcement process. IoT Technology collaboration with all sectors of human life, for example, legal, social and economic, as well as natural resource factors and human resources, are still needed. IoT is expected to be a tool to achieve a level of accuracy, real-time, fast, and stability. In the era of Society 5.0, all aspects were asked to be fast so as not to be left behind in any sector; the ability factor of the human being, namely human resources, also determines whether a matter or case can be appropriately resolved. This article is one of the review articles on the role of IoT in law enforcement. Some parameters within the Internet of Things form Artificial Intelligence, Deep Learning, Big Data, and Machine Learning. Solutions with AI can be seen in the lie detection system. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/577 10.31763/iota.v3i1.577 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/577/172 Rights Information about rights held in and over the resource Copyright (c) 2023 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]; 33-42 2774-4353 Subject The topic of the resource Internet of Things Legal problems Law Enforcement process Society 5.0 Era Artificial Intelligence Big Data Title A name given to the resource Artificial Intelligence of Internet of Things (AIoT) Technology-based Law Enforcement Process Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Yudistiro, Kukuh Gatot Suharto Abdul Fatah Lasinta Ari Nendra Wibawa Prastiyono, Yudi Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-01 Description An account of the resource The quality of corn is essential to determine whether the corn is still suitable for consumption and what type of corn it is. Corn is one type of vegetable that is indispensable for the nutritional needs of the Indonesian people today and is a mixture of other essential ingredients. Corn is rich in fiber, which is good for improving digestion and overcoming constipation, controlling blood sugar levels, maintaining heart health, overcoming depression, maintaining eye health, and preventing diverticulitis. In this research, image recognition is used to determine and detect the content of aflatoxin, which is one type of abnormality or disorder in corn. This affects the quality of corn, whether corn is suitable for human consumption, and what impact aflatoxin has on the human body. on testing using parameters Non UV image, SGW Filter Image θ = 0, 90, 180 and 270, and The resulting SGW image with the number of orientations N = 4, θ = θ + pi/N, and θ = θ + 2*pi/N, The aflatoxin content in humans can cause carcinogenic or liver cancer and acute necrosis, cirrhosis, and carcinoma in the animal liver. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/576 10.31763/iota.v3i1.576 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/576/171 Rights Information about rights held in and over the resource Copyright (c) 2023 ascee https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]; 19-32 2774-4353 Subject The topic of the resource corn quality image processing aflatoxin detection Title A name given to the resource Detection of aflatoxin contamination in corn using The Simplified Gabor Wavelet algorithm Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mayasari, Mayasari Rumanintya Lisaria Putri Iwan Harsono Eko Wahyono Reza Amarta Prayoga Joko Sutrisno Suprapto Rida Ristyana Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-01 Description An account of the resource This study aims to identify the need for developing a financial literacy pocketbook for Malay ethnic homemakers in running a home industry business, compiling a financial literacy pocket bookmaking tool, and measuring or knowing the validation of the financial literacy pocketbook. This study uses a design-based research (DBR) approach. The subjects in this study were 25 Malay homemakers running a home industry business in Jambi City. For the implementation of field trials (in large groups) and evaluation of field trials, the researchers used action research to test the draft financial literacy pocketbook product. Researchers collected data using the method of observation, in-depth interviews, questionnaires, FGD (focus group discussion), and documentation. The data analysis used by researchers in processing research and development data used qualitative and quantitative analysis. The results of the field test showed that before the pre-test comprehension treatment was conducted, it was 57.71, while after the treatment of understanding financial literacy using a literacy pocketbook, it was known that the average result of understanding Jambi Malay homemakers about financial literacy with a post-test was 67.02 which means an increase of 9.31 points. The effect size calculation results show a value of 0.861, which is included in the high category. Overall, this study has produced a pocketbook of home industry financial literacy measuring 7 x 10 cm with 25 pages of teaching materials that professionals have validated. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/575 10.31763/iota.v3i1.575 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/575/170 Rights Information about rights held in and over the resource Copyright (c) 2023 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]; 2-18 2774-4353 Subject The topic of the resource Pocketbooks Financial Literacy Housewives Home Industry Title A name given to the resource A Development of a Financial Literacy Pocket Book for Malay Tribe Housewives in Running a Home Industry Business Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Wardani, Syafa Wajahtu Lestari, Silvia Windri Daffa, Nauffal Ammar Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource Every company or organization must have the right strategy to continue business or organizational activities. If not used, product sales data at the company will only become a pile of data; of course, it is regrettable if it is not used properly. The company can use the most product sales data to determine the next marketing strategy. To find out this data (the most sales), Association Rules Analysis is needed on the FP-Growth Algorithm method. This research aims to determine the association rule of Java ATK sales using the FP-Growth algorithm. This algorithm can be used for extensive data sets and to process Big Data. The results of this study are the FP Growth algorithm using association rules, which can be implemented in bookstore sales data with support count and minimum confidence parameters. A decimal value of 0.8 can form a product purchase correlation to increase stationery sales in Java Ateka. The rule obtained from the results of the FP-Growth calculation is that there are three transactions where if you buy item A, you will buy item B. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/569 10.31763/iota.v2i3.569 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/569/168 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]; 133-146 2774-4353 Subject The topic of the resource Data Mining Rule Association FP Growth RapidMiner Stationery Sales Title A name given to the resource Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Fitriani, Intan Indri Agustina, Nur Ngaenun Fajariyanti, Alya Nur Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource The success of a convection business is determined by the materials used. The more the need for orders at GORICH Industry and production convection, the business owner must be competent in producing and selecting superior materials so that customers feel satisfied with the products purchased. The number of materials and the various criteria for these materials requires a decision support system as a solution for selecting the best materials, which is used as a recommendation for material selection to prospective buyers. This method was chosen for this study using the Weighted Product method because it can determine the weight value for each attribute; in this case, it can be followed by ranking, which will be able to select each quality from the best alternative from several existing choices. From the results of the analysis, it was also found that the jersey material alternative recommended at Gorich Industry and Production fell on the A8 option, namely Emboss material. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/568 10.31763/iota.v2i3.568 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/568/176 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]; 198-209 2774-4353 Subject The topic of the resource Convection Decision Support System Weighted Product business industry Title A name given to the resource The Weighted Product Implementation In Selection of Superior Jersey Materials in Gorich Industry and Production Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Satriani, Laela Jati Wulandari, Hendita Ayu Arifa, Pujana Nisya Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource The Cosmetic Warehouse in this research is located in Purwokerto, a one-effort trade that provides beauty products. Cosmetic Warehouse Purwokerto had stood up since 2013 when Navissatul Darojah Gusmiati was founded with ten employees. The study aimed to apply the weighted product method as a decision support system for determining employee bonuses in the Purwokerto cosmetic warehouse and giving less salary and bonuses following performance employees. The Weighted Product method is a decision-making method with specific criteria. The weighted Product method is used to decide with multiplication for link attribute rating. Rating each attribute must be promoted, especially formerly with weight attribute in question; in a study, this is the data used, i.e., result data interview in the form of a later questionnaire processed by Weighted method product (WP). This research can produce results in the form of calculations with the used algorithm WP company with clear and detailed about giving employee bonuses with existing criteria. Moreover, score preference was obtained by an employee named Indri with a value equal to 0.105670687. for the score, 2nd preference was obtained by Princess with a value equal to 0.10356631, and for 3rd, obtained by Gio with a value equal to 0.101039953. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/567 10.31763/iota.v2i3.567 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/567/164 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]; 188-197 2774-4353 Subject The topic of the resource decision support system weighted product method bonus employee cosmetic warehouse Title A name given to the resource The Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Khotimah, Khusnul Anggraini, Lintang Wahyu Alfirnanda, Weersa Talta Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-23 Description An account of the resource The Indonesia Smart College Card Program (KIP-K) is a tuition assistance program (scholarship) from the Government through the Ministry of Education, Culture, Research and Technology (Kemdikbudristek). In the KIP-K scholarship selection process, criteria are needed to determine who is right to receive the KIP-K scholarship. This study aims to carry out the process of determining the ranking of KIP-K scholarship recipients based on the TOPSIS method. To determine scholarship recipients with outstanding achievements, Amikom Purwokerto University selects prospective scholarship recipients based on several criteria. The criteria used are Student DTKS Status, Parents' Income, Parents' Dependents, Average School Exams, Student Transportation Costs. The results obtained from this study are in the form of ranking obtained from the highest value to the lowest value. There were 112 prospective students who were entitled to get KIP-K scholarships out of a total of 314 applicants. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/566 10.31763/iota.v2i4.566 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/566/162 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]; 279-290 2774-4353 Subject The topic of the resource DSS MOORA Students Criteria Field practice Title A name given to the resource Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rahma, Felinda Aprilia Diniyati, Faoziyah Fahiya Hidayah, Septi Oktaviani Nur Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-20 Description An account of the resource MTs Muhammadiyah Pekuncen is one of the MTs in the Banyumas Regency area where each year determines superior students and gets a 50% tuition discount for these students, with the aim of motivating students to become even better. Excellent students are students with high achievement, noble character and good behavior. Determination of superior students at MTs Muhammadiyah Pekuncen is still done manually, namely by deliberation between the teacher council which results in differences of opinion. Therefore we need a system that can determine superior students fairly without taking sides with any party and can be accepted by teachers and students. In this study, it will produce data on students who are selected to be superior students with 5 criteria including attitude, attendance, social, activity and achievement based on the AHP algorithm process. With the existence of a Decision Support System using the Analytical Hierarchy Process method it is proven to produce accurate values in determining superior students at Mts Muhammadiyah Pekuncen with a total value of 0.4464 a class IX student named Seftria Salsabila Putri was selected as a superior student. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/564 10.31763/iota.v2i2.564 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/564/161 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]; 122-132 2774-4353 Subject The topic of the resource Excellent Student Decision Support System AHP Method selection process Data Collection Title A name given to the resource Decision Support System for Muhammadiyah Pekuncen Islamic Junior High School in Determining Excellent Students Using the AHP Method Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion